RAG en fine-tuning: twee AI-technieken voor verschillende problemen

Retrieval-Augmented Generation and fine-tuning represent distinct approaches for enhancing AI models, each suited to different challenges. RAG retrieves external information to supplement model responses, while fine-tuning adjusts internal model parameters through training. Selecting between them depends on whether you need dynamic knowledge access or permanent behavioral changes.